Expert Iteration for Risk. - Lucas Gnecco Heredia; Tristan Cazenave (ACG, 2021)

On the Role of Randomization in Adversarially Robust Classification. - Lucas Gnecco Heredia; Muni Sreenivas Pydi; Laurent Meunier; Benjamin Négrevergne; Yann Chevaleyre (NeurIPS, 2023)

Randomization for adversarial robustness: the Good, the Bad and the Ugly. - Lucas Gnecco Heredia; Yann Chevaleyre; Benjamin Négrevergne; Laurent Meunier (CoRR, 2023)

Adversarial attacks for mixtures of classifiers. - Lucas Gnecco Heredia; Benjamin Négrevergne; Yann Chevaleyre (CoRR, 2023)

Unveiling the Role of Randomization in Multiclass Adversarial Classification: Insights from Graph Theory. - Lucas Gnecco Heredia; Matteo Sammut; Muni Sreenivas Pydi; Rafael Pinot; Benjamin Négrevergne; Yann Chevaleyre (AISTATS, 2025)

Lattice Climber Attack: Adversarial attacks for randomized mixtures of classifiers. - Lucas Gnecco Heredia; Benjamin Négrevergne; Yann Chevaleyre (CoRR, 2025)